The Quality of Radiology Artificial Intelligence Research: Counterpoint—The Long Road From Discovery to Deployment

Sara Abosabie, Julius Chapiro

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DOI: 10.2214/ajr.26.35398
Published: 2026-06-17
Container: American Journal of Roentgenology
Publisher: American Roentgen Ray Society
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2214/ajr.26.35398,
  title = {The Quality of Radiology Artificial Intelligence Research: Counterpoint—The Long Road From Discovery to Deployment},
  author = {Sara Abosabie and Julius Chapiro},
  year = {2026},
  journal = {American Journal of Roentgenology},
  doi = {10.2214/ajr.26.35398},
  url = {https://doi.org/10.2214/ajr.26.35398}
}

RIS

TY  - JOUR
TI  - The Quality of Radiology Artificial Intelligence Research: Counterpoint—The Long Road From Discovery to Deployment
AU  - Sara Abosabie
AU  - Julius Chapiro
PY  - 2026
JO  - American Journal of Roentgenology
DO  - 10.2214/ajr.26.35398
UR  - https://doi.org/10.2214/ajr.26.35398
ER  -

APA

Abosabie, S., & Chapiro, J. (2026). The Quality of Radiology Artificial Intelligence Research: Counterpoint—The Long Road From Discovery to Deployment. American Journal of Roentgenology. https://doi.org/10.2214/ajr.26.35398

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crossref · retrieved 2026-09-26T06:07:27.097Z